Deep learning in cancer diagnosis and prognosis prediction: a minireview on challenges, recent trends, and future directions

AB Tufail, YK Ma, MKA Kaabar… - … Methods in Medicine, 2021 - Wiley Online Library
Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …

Artificial intelligence in CT and MR imaging for oncological applications

R Paudyal, AD Shah, O Akin, RKG Do, AS Konar… - Cancers, 2023 - mdpi.com
Simple Summary The two most common cross-sectional imaging modalities, computed
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …

Large-scale pancreatic cancer detection via non-contrast CT and deep learning

K Cao, Y Xia, J Yao, X Han, L Lambert, T Zhang… - Nature medicine, 2023 - nature.com
Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically
detected late and at an inoperable stage. Early or incidental detection is associated with …

Pancreatic cancer detection on CT scans with deep learning: a nationwide population-based study

PT Chen, T Wu, P Wang, D Chang, KL Liu, MS Wu… - Radiology, 2023 - pubs.rsna.org
Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at
abdominal CT. Purpose To develop and to validate a deep learning (DL)–based tool able to …

Using quantitative imaging for personalized medicine in pancreatic cancer: a review of radiomics and deep learning applications

K Preuss, N Thach, X Liang, M Baine, J Chen, C Zhang… - Cancers, 2022 - mdpi.com
Simple Summary With a five-year survival rate of only 3% for the majority of patients,
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …

The systematic review of artificial intelligence applications in breast cancer diagnosis

D Uzun Ozsahin, D Ikechukwu Emegano, B Uzun… - Diagnostics, 2022 - mdpi.com
Several studies have demonstrated the value of artificial intelligence (AI) applications in
breast cancer diagnosis. The systematic review of AI applications in breast cancer diagnosis …

Causality-driven graph neural network for early diagnosis of pancreatic cancer in non-contrast computerized tomography

X Li, R Guo, J Lu, T Chen, X Qian - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pancreatic cancer is the emperor of all cancer maladies, mainly because there are no
characteristic symptoms in the early stages, resulting in the absence of effective screening …

Fully automatic deep learning framework for pancreatic ductal adenocarcinoma detection on computed tomography

N Alves, M Schuurmans, G Litjens, JS Bosma… - Cancers, 2022 - mdpi.com
Simple Summary Early image-based diagnosis is crucial to improve outcomes in pancreatic
ductal adenocarcinoma (PDAC) patients, but is challenging even for experienced …

Artificial intelligence-driven diagnosis of pancreatic cancer

BS Hameed, UM Krishnan - Cancers, 2022 - mdpi.com
Simple Summary Pancreatic cancer poses a grave threat to mankind, due to its poor
prognosis and aggressive nature. An accurate diagnosis is critical for implementing a …

Pancreatic cancer in chronic pancreatitis: pathogenesis and diagnostic approach

G Le Cosquer, C Maulat, B Bournet, P Cordelier… - Cancers, 2023 - mdpi.com
Simple Summary Chronic alcoholic pancreatitis displays a cumulative risk of pancreatic
cancer estimated at 4% after 15 to 20 years, this risk being higher for hereditary pancreatitis …